Tire Rotation Detection Using Accelerometer Thresholds

The system performs preliminary actions by accumulating acceleration data over multiple rotation cycles before making a determination. Instead of relying on a single threshold comparison, the system collects multiple measurements and processes them collectively to determine tire rotation status, thereby improving precision while maintaining operational simplicity.

The system creates a reference pattern by accumulating acceleration data during normal operation and uses this reference to detect tire rotation. Instead of relying on expensive high-precision sensors, the system copies and compares acceleration patterns over time, using the accumulated data as a reference model for detection. This approach achieves high precision detection using standard, low-cost accelerometers.

The system implements periodic action by monitoring acceleration continuously but performing comprehensive analysis only at predetermined intervals or when specific conditions are met. The processor accumulates data periodically and executes detection algorithms at these intervals rather than continuously, thereby maintaining reliable detection while significantly reducing power consumption during data processing and communication phases.